Indicative conditionals: probabilities and relevance

Franz Berto, Aybüke Özgün

Research output: Contribution to journalArticlepeer-review

6 Downloads (Pure)

Abstract

We propose a new account of indicative conditionals, giving acceptability and logical closure conditions for them. We start from Adams’ Thesis: the claim that the acceptability of a simple indicative equals the corresponding conditional probability. The Thesis is widely endorsed, but arguably false and refuted by empirical research. To fix it, we submit, we need a relevance constraint: we accept a simple conditional φ→ψ to the extent that (i) the conditional probability p(ψ|φ) is high, provided that (ii) φ is relevant for ψ. How (i) should work is well-understood. It is (ii) that holds the key to improve our understanding of conditionals. Our account has (i) a probabilistic component, using Popper functions; (ii) a relevance component, given via an algebraic structure of topics or subject matters. We present a probabilistic logic for simple indicatives, and argue that its (in)validities are both theoretically desirable and in line with empirical results on how people reason with conditionals.
Original languageEnglish
Number of pages34
JournalPhilosophical Studies
VolumeFirst Online
Early online date19 Apr 2021
DOIs
Publication statusPublished - 19 Apr 2021

Keywords

  • Conditionals
  • Conditionals probabilities
  • Relevance
  • Adams' thesis
  • Subject matter

Fingerprint

Dive into the research topics of 'Indicative conditionals: probabilities and relevance'. Together they form a unique fingerprint.

Cite this